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What is DAG?
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Why DAGs Matter in Orchestration
🛠️ Benefits of Using DAGs in Orchestration
✅ Clear Task Dependencies
✅ Parallel Execution
✅ Failure Isolation
✅ Reproducibility
DAG
What is DAG?
A
DAG (Directed Acyclic Graph)
is a type of graph structure that consists of
nodes
and
directed edges
, where:
Each
edge
has a direction (from one node to another)
There are
no cycles
— you cannot start from a node and return to it by following the direction of the edges
In simple terms, a DAG is like a flowchart where tasks move in one direction and never loop back.
Why DAGs Matter in Orchestration
In orchestration systems like
Lyzr Agent Orchestration (LAO)
, DAGs play a critical role in defining
task flows
or
execution pipelines
. Each task or agent is represented as a node, and the edges define the order of execution.
🛠️ Benefits of Using DAGs in Orchestration
✅
Clear Task Dependencies
DAGs allow you to define which tasks depend on others, making the execution order explicit and easy to visualize.
✅
Parallel Execution
Independent branches of a DAG can run in parallel, improving performance and efficiency.
✅
Failure Isolation
Since each node is isolated and independent, failures can be detected and handled without collapsing the entire pipeline.
✅
Reproducibility
By defining a clear execution flow, DAGs make processes predictable, repeatable, and easier to debug.
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DAG vs Manager Agent
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Responses are generated using AI and may contain mistakes.